“Imagine trying to create a kind of map of sound with different elements - vowels, consonants, all the different notes - and then bringing it all together to train an algorithm,” Pamela says. They explained it to the singers as teaching a computer to sing. They turned to four talented freelance opera singers who went into the recording studio alone for hours at a time, using their voices and talent to unearth a huge range of sounds. But we weren’t really expecting how much people would enjoy it when we first introduced Blob Opera.”īefore the experiment's initial release in December 2020, the team needed samples of opera voices. So it’s been a pleasure to invite David Li to create this experiment that so playfully guides people to learn more about the voice and music. “The magic of performing art is one of the most difficult things to grasp from a technical standpoint. Laurent is a musician who studied at a conservatory in France and worked in music for 10 years. “We were very excited to get the invitation to bring Blob Opera to I/O with new features,” says Laurent Gaveau, who’s the head of Google Arts & Culture lab. “I stopped playing piano a very long time ago.” Pamela is a producer for Google, and despite her non-musical background, she’s part of a very special, very experimental musical project: bringing Blob Opera to I/O.
“I’m definitely not a musician,” says Pamela Peter-Agbia. At the time, he simply wanted to explore what technology could do with the human voice - but the Blob Opera quickly became a hit. "Opera singers use their voices as expressive and beautiful musical instruments and I was interested in the idea of making interactive versions of these voices, so that anyone could play with them,” he says. When artist David Li partnered with Google Arts & Culture on a machine learning experiment in late 2020, he didn't realize the project would make a return at this week’s I/O.
0 kommentar(er)
